Understanding how deep neural networks resemble or differ from human vision becomes increasingly important with their widespread use in Computer Vision and as models Neuroscience. A key aspect of is shape: we decompose the visual world into distinct objects, cues to infer 3D geometries, can group several object parts a coherent whole. Do shape objects similarly when they classify images? Resear...

The role of perceptual load in selective attention to multidimensional objects was investigated by independently manipulating the load along the task-relevant and the task-irrelevant dimensions in the central search array, which was flanked by congruent, incongruent, or neutral peripheral distractors. The relative bottom-up perceptual saliency of these dimensions in capturing attention was mani...